Community Spring Cleaning week is here! Join your fellow Maveryx in digging through your old posts and marking comments on them as solved.
Learn more here!
If you are attending virtually, on the day of the event, join here: https://community-alteryx.zoom.us/j/95367796094?pwd=NzhNNlZycEk1TUxKVnAwVnBxRHBJQT09 Meeting ID: 953 6779 6094 Passcode: 854144
Room# SMITH 214
Come kickoff 2024 with the Boston Alteryx User Group on Thursday, March 28, 2024 for a hybrid event at 6 pm!
Agenda:
6:00 to 6:15pm: Welcome and introductions
6:15 to 6:45pm: Madison D. : Program Specialist, Alteryx
- Alteryx Mentor Connect
6:45 to 7:25pm: James Pierre : Tax Manager, Service Corp Intl
- Tips and best practices for strategic organization and collaboration
A Zoom link is provided which will be visible after Registering on the top right.
Please reach out if you experience any issues.
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The BAUG wrapped Q4 with presentations from David Cooperberg (Product Manager, Alteryx) and Joshua Marsh (BAUG co-leader). David gave a presentation on Generative AI -AiDIN and Alteryx while Joshua spoke on Machine Learning methodologies and Alteryx. Here is a recap from both speakers:
David:
In the presentation led by David, he introduced Aiden! Aiden is the AI engine that Alteryx is building that infuses the power of both generative AI, which is more recent and machine learning across the entire suite of products that make up the Alteryx cloud platform. David highlighted the inspiration drawn from recent generative AI trends, leading to the development of Aiden.
The innovative features encompass Workflow Summary, Open AI connectors, Magic documents, and AiDIN Copilot, showcasing accelerated workflow creation through generative AI within Alteryx Designer, Cloud, and Intelligence Suite. Additionally, AI Studio was unveiled as the backbone, offering users the capability to customize and seamlessly integrate generative AI models. David emphasized the Design Partner Program, an initiative inviting collaboration for refining these AI products (email GenAITeam@alteryx if your interested in joining). Here is a quick recap of the technologies David went over:
Workflow Summary: A tool that you can put on your designer canvas that when the workflow runs, we'll make a call out to chatGPT
Open AI Connectors: Integration tools enabling seamless interaction between Alteryx workflows and Open AI, facilitating tasks like text classification and sentiment analysis.
Magic Documents (within Auto Insights): A feature generating PowerPoint decks or emails summarizing dashboard information, enhancing business intelligence and reporting.
Aiden Copilot: An innovative AI-powered interface within Alteryx Designer, expediting workflow creation by providing intelligent recommendations and automating tool configurations.
Joshua:
In the presentation led by Josh, he gave an overview of machine learning methodologies using Alteryx's ML tools. Josh took us through a binary classification Use Case using NBA data that aimed to predict the result of a game's outcome (W or L). Josh noted that the first and most important step of the process is to define the problem's definition. After this operation he gave insight into the automated process of extracting, transforming, and loading the data prior to analysis. Josh emphasized that this process is usually the hardest to preform in production. After walking through the initial steps of curating the data Josh dove into Data exploration and Feature engineering. Both of these steps used visual analysis as an aid to understanding the data that was collected. The last step Josh overviewed was modeling the data using two classification models, Decision Tree and Logistic Regression. After both models were fit to the data, Josh walked through the model comparison tool that allowed users to see an overview of each model's performance and the underlying reason of selecting one over the other. Here is a quick recap of the methods Josh went over:
Problem Definition - Scope the problem and determine measures for success.
Data Logging and Loading (ETL) - Identify data, algorithms typically need all data to be numeric, fill missing values, remove duplicates, standardize.
Exploratory Data Analysis - Summarize and visualize the data to understand it (min, max, median, mean, quartiles, outliers, trends, etc.)
Feature Engineering - Create new input features from existing ones.
Model Selection and Training - Split the data into train, validation, and test sets. Select the proper model or models to train the dataset.
Model Testing - Inner loop testing and refining to produce better and better results.
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Hello Boston User Group! Gartner is gathering reviews on the Alteryx platform from users on their Peer Insights site. I’d like to invite all current customers to take a few minutes to leave a review about your experience with Alteryx. This helps many other people who are thinking about adding a data & analytics tool. As a thank you for your time, Gartner will send a $25 Visa gift card. Please make sure to use your business email as Gartner may need to verify you are indeed a user. To get started you can follow the link here: https://gtnr.io/OwgeV9Km3 OR If you would prefer to leave a charitable donation instead of receiving a gift card you can go here: https://gtnr.io/BDiQRPZve For any questions please feel free to reach out to alteryxadvocacy@alteryx.com.
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Hi Boston User Group!
At Alteryx, we're passionate about transforming the world of data analytics and empowering the next generation of professionals. You've been a key part of our vibrant Alteryx Community, and we believe you have the power to inspire and guide aspiring data enthusiasts on their journey.
That's why we're excited to introduce you to Alteryx Mentor Connect, powered by SparkED, a unique opportunity to connect one-on-one with SparkED learners who are eager to learn and grow in the field of data analytics.
What is Alteryx Mentor Connect?
The Alteryx Mentor Connect program is a global network of Alteryx users, SparkED advocates, and Alteryx associates, providing professional expertise to analytics learners around the world. The aim of the program is for learners of all kinds to connect with mentors for professional mentorship, career guidance and subject matter expertise.
Mentors – Who Can Volunteer?
We’re looking globally for Maveryx and SparkED advocates across departments, industries, and types of roles. All analytics and Designer skill levels welcome! Mentors are passionate about using their skills and expertise for good through intentional connections with analytics learners from around the world.
Why Should You Get Involved?
Inspire the Next Generation: Share your expertise, insights, and real-world experiences to inspire and guide the future leaders of the data analytics industry.
Expand Your Network: Connect with fellow Alteryx users and SparkED Supporters, forging valuable relationships within our growing community.
Make a Difference: Your knowledge and mentorship can shape the careers and futures of aspiring data professionals.
How Can You Participate?
It's easy to get involved! You can participate by offering 1:1 mentorship, career guidance, project-based insight, or contributing your expertise in various ways that suit your schedule and interests. All you have to do is fill in the sign-up form and complete your mentor profile! Please input UserGroup (one word) for the Registration Code.
While we're actively recruiting engaged Maveryx like you to sign up, please note that you might not get matched with a mentee right away. We plan to promote on a larger scale to SparkED students and learners in early 2024.
Join us in building a brighter future for data analytics together! We look forward to having you as a vital part of our Alteryx Mentor Connect Program. Together, we can inspire, educate, and elevate the data analytics community.
Need more information? Visit the Mentor Connect website or read the flyer attached. If you have any questions, please don't hesitate to reach out to us at mentor@alteryx.com.
Thank you for being an essential part of the Alteryx Community.
The Alteryx SparkED Team
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On the day of the event, join here: https://community-alteryx.zoom.us/j/96622661176?pwd=SWpqd0RoVTJJZm5reDJQVDRlVUdGZz09 - Meeting ID: 966 2266 1176 / Passcode: 100458
Come, learn, mingle, and network with other Alteryx enthusiasts on Thursday, December 14, 2023 for a Virtual event at 5 pm!
Agenda:
5:00 to 5:30 pm: Welcome and introductions
5:30 to 6:00 pm: Generative AI and Alteryx by David Cooperberg (Product Manager, Alteryx)
6:00 to 6:30 pm: Predicting NBA games using Machine Learning in Alteryx by Joshua Marsh (BAUG co-leader)
~6:30 pm: Closing remarks and Questions
A Zoom link is provided which will be visible after Registering on the top right.
Please reach out if you experience any issues.
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